Relationship between glycated haemoglobin levels and mean glucose levels over time
- PMID: 17851648
- PMCID: PMC8752566
- DOI: 10.1007/s00125-007-0803-0
Relationship between glycated haemoglobin levels and mean glucose levels over time
Abstract
Aims/hypothesis: HbA(1c), expressed as the percentage of adult haemoglobin that is glycated, is the most widely used measure of chronic glycaemia. Achieving near-normal HbA(1c) levels has been shown to reduce long-term complications and the HbA(1c) assay is recommended to determine whether treatment is adequate and to guide adjustments. However, daily adjustments of therapy are guided by capillary glucose levels (mmol/l). We determined the relationship between an accurate measure of mean glucose levels over time and the HbA(1c) level, and whether HbA(1c) can be expressed in the same units as self-monitoring results.
Methods: Twenty-two participants with diabetes and three non-diabetic participants were included in this longitudinal observational study. Mean glucose levels were measured by continuous glucose monitoring (CGM), which measures interstitial glucose levels every 5 min, for 12 weeks. Capillary measurements were obtained four times per day to confirm the accuracy of CGM. HbA(1c) was measured at baseline and every 4 weeks.
Results: The HbA(1c) results at weeks 8 and 12 correlated strongly (r = 0.90) with the CGM results during the preceding 8 and 12 weeks. A curvilinear (exponential) relationship and a linear regression captured the relationship with similarly high correlations, which allowed transformation of HbA(1c) values to a calculated mean glucose level.
Conclusions and interpretation: HbA(1c) correlates closely with a complete measure of average glycaemia over the preceding 8-12 weeks. The translation of HbA(1c) to an average glucose level for reporting and management purposes is feasible.
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Comment in
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Caveats regarding the use of HbA1c for prediction of mean blood glucose.Diabetologia. 2008 May;51(5):903-4; author reply 905-6. doi: 10.1007/s00125-008-0968-1. Epub 2008 Mar 4. Diabetologia. 2008. PMID: 18317721 No abstract available.
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